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1

Kebotogetse, Otisitswe, Ravi Samikannu, and Abid Yahya. "Review of key management techniques for advanced metering infrastructure." International Journal of Distributed Sensor Networks 17, no. 8 (August 2021): 155014772110415. http://dx.doi.org/10.1177/15501477211041541.

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The electricity industry has been developed through the introduction of the smart grid. This has brought about two-way communication to the grid and its components. The smart grid has managed to increase the efficiency and reliability of the traditional power grid over the years. A smart grid has a system that is used to measure and collect readings for power consumption reflection, and the system is known as the Advanced Metering Infrastructure. The advanced metering infrastructure has its components too which are the smart metre, metre control system, collector or concentrator and communication networks (wide area network, neighbourhood area network, and home area network). The communication networks in the advanced metering infrastructure have created a vulnerability to cyber-attacks over the years. The reliability of the power grid to consumers relies on the readings from the smart metre, and this brings about the need to secure the smart metre data. This article presents a review of key management methods in advanced metering infrastructure environments. The article begins with an overview of advanced metering infrastructure and then shows the relationship between the advanced metering infrastructure and the smart grid. The review then provides the security issues related to advanced metering infrastructure. Finally, the article provides existing works of key management methods in advanced metering infrastructure and future directions in securing advanced metering infrastructure and the smart grid.
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Akinbulire, Tolulope Olusegun, Augustus Ehiremen Ibhaze, and Moses Uwakmfon Akpabio. "A review on smart metering infrastructure." International Journal of Energy Technology and Policy 16, no. 3 (2020): 277. http://dx.doi.org/10.1504/ijetp.2020.10027263.

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Ibhaze, Augustus Ehiremen, Moses Uwakmfon Akpabio, and Tolulope Olusegun Akinbulire. "A review on smart metering infrastructure." International Journal of Energy Technology and Policy 16, no. 3 (2020): 277. http://dx.doi.org/10.1504/ijetp.2020.107019.

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Baskaran, Hasventhran, Abbas M. Al-Ghaili, Zul Azri Ibrahim, Fiza Abdul Rahim, Saravanan Muthaiyah, and Hairoladenan Kasim. "Data falsification attacks in advanced metering infrastructure." Bulletin of Electrical Engineering and Informatics 10, no. 1 (February 1, 2021): 412–18. http://dx.doi.org/10.11591/eei.v10i1.2024.

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Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter’s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user’s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user.
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Sun, Ying Yun, Ya Xiong You, and Ying Chen. "Metering Infrastructure and its Reference Architecture of Smart Distribution Grid Based on the Domain Model." Applied Mechanics and Materials 385-386 (August 2013): 1030–35. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1030.

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nformation facilities play an important role in guarantee for smart distribution grid (SDG) security and stability, and the SDG metering infrastructure will play guiding role for the construction of SDG information facilities. This paper firstly elaborates the conception of the SDG metering infrastructure from the perspective of demand of information system in SDG, and then analyzes the functional demand and features of metering infrastructure during the development of SDG. Finally this paper proposes the reference architecture of SDG metering infrastructure using the domain in conceptual model of smart grid and has a detailed analysis on the inner-domain data source, data communication channel and data center of reference architecture.
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Suzuki, Hiroshi. "Advanced Metering Infrastructure based on Smart Meters." IEEJ Transactions on Power and Energy 127, no. 9 (2007): 977–80. http://dx.doi.org/10.1541/ieejpes.127.977.

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Hwang, Kwang-il, Young-sik Jeong, and Deok Gyu Lee. "Hierarchical multichannel-based integrated smart metering infrastructure." Journal of Supercomputing 72, no. 7 (May 20, 2015): 2453–70. http://dx.doi.org/10.1007/s11227-015-1441-9.

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Yan, Lili, Yan Chang, and Shibin Zhang. "A lightweight authentication and key agreement scheme for smart grid." International Journal of Distributed Sensor Networks 13, no. 2 (February 2017): 155014771769417. http://dx.doi.org/10.1177/1550147717694173.

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Smart grid is a modernized electrical grid. It is used to collect information about behaviors of suppliers and consumers and improve the efficiency, reliability, and economics of electricity. Recently, advanced metering infrastructure is proposed as a critical part of the smart grid. The security of advanced metering infrastructure is special importance for smart grid. In order to achieve data confidentiality, privacy, and authentication in advanced metering infrastructure, a lightweight authentication and key agreement scheme is proposed in this article. The scheme provides mutual authentication, key agreement, key refreshment, and multicast mechanism which can prevent various attacks. Furthermore, we analyze the security and performance of the scheme. The analysis shows that the proposed scheme is suitable for smart grid.
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Teng, Jen-Hao, Chia-Wei Chao, Bin-Han Liu, Wei-Hao Huang, and Jih-Ching Chiu. "Communication Performance Assessment for Advanced Metering Infrastructure." Energies 12, no. 1 (December 28, 2018): 88. http://dx.doi.org/10.3390/en12010088.

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Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.
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Dema, Merita. "INFRASTRUCTURE AND COMMUNICATION TECHNOLOGIES IN SMART METERING SYSTEMS." Journal of Electrical Engineering and Information Technologies 2, no. 2 (2017): 129–35. http://dx.doi.org/10.51466/jeeit172129d.

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Hulsebosch, Tom, Tommy McClung, Peter Mulvaney, Greg Weeks, Mike Patelski, and Alex Frank. "Advanced Metering Infrastructure Underpins a Smart Water Utility." Opflow 42, no. 7 (July 2016): 14–17. http://dx.doi.org/10.5991/opf.2016.42.0040.

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Dema, Merita. "INFRASTRUCTURE AND COMMUNICATION TECHNOLOGIES IN SMART METERING SYSTEMS." Journal of Electrical Engineering and Information Technologies 2, no. 2 (2017): 129–35. http://dx.doi.org/10.51466/jeeit172129d.

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Rahman, Mohammad, Amarjit Datta, and Ehab Al-Shaer. "Automated Configuration Synthesis for Resilient Smart Metering Infrastructure." ICST Transactions on Security and Safety 8, no. 28 (September 10, 2021): 170948. http://dx.doi.org/10.4108/eai.10-9-2021.170948.

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Seijo Simó, Miguel, Gregorio López López, and José Ignacio Moreno Novella. "Cybersecurity Vulnerability Analysis of the PLC PRIME Standard." Security and Communication Networks 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/7369684.

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Security in critical infrastructures such as the power grid is of vital importance. The Smart Grid puts power grid classical security approach on the ropes, since it introduces cyberphysical systems where devices, communications, and information systems must be protected. PoweRline Intelligent Metering Evolution (PRIME) is a Narrowband Power-Line Communications (NB-PLC) protocol widely used in the last mile of Advanced Metering Infrastructure (AMI) deployments, playing a key role in the Smart Grid. Therefore, this work aims to unveil the cybersecurity vulnerabilities present in PRIME standard, proposing solutions and validating and discussing the results obtained.
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Velhal, Geeta, Avani Pujara, Vaishali Velhal, Dr S. M. Bakre, and Dr V. Muralidhara. "Smart Transformer using Advanced Metering Infrastructure (AMI) and Advance Sensor Infrastructure (ASI)." IJIREEICE 3, no. 8 (August 15, 2015): 5–8. http://dx.doi.org/10.17148/ijireeice.2015.3802.

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Li, Z., F. Yang, S. Mohagheghi, Z. Wang, J. C. Tournier, and Y. Wang. "Toward smart distribution management by integrating advanced metering infrastructure." Electric Power Systems Research 105 (December 2013): 51–56. http://dx.doi.org/10.1016/j.epsr.2013.07.008.

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17

Siqueira de Carvalho, Ricardo, Pankaj Kumar Sen, Yaswanth Nag Velaga, Lucas Feksa Ramos, and Luciane Neves Canha. "Communication System Design for an Advanced Metering Infrastructure." Sensors 18, no. 11 (November 2, 2018): 3734. http://dx.doi.org/10.3390/s18113734.

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This paper primarily deals with the design of an Information and Control Technology (ICT) network for an advanced metering infrastructure (AMI) on the IEEE 34 node radial distribution network. The application is comprised of 330 smart meters deployed in the low voltage system and 33 data concentrators in the medium voltage system. A power line carrier (PLC) communication system design is developed and simulated in Network Simulator 3 (NS-3). The simulation result is validated by comparing the communication network performance with the minimum performance requirements for AMI. The network delay of a single data frame is calculated and compared with the simulation delay. The design methodology proposed in this article may be used for other smart grid applications. The secondary goal is to provide AMI network traffic based on the IEC Std. 61968 and a discussion on whether or not AMI could possibly be a source of big data on the future power grid.
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18

Garg, Sahil, Kuljeet Kaur, Georges Kaddoum, Joel J. P. C. Rodrigues, and Mohsen Guizani. "Secure and Lightweight Authentication Scheme for Smart Metering Infrastructure in Smart Grid." IEEE Transactions on Industrial Informatics 16, no. 5 (May 2020): 3548–57. http://dx.doi.org/10.1109/tii.2019.2944880.

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19

Ahmad, Aftab. "A Smart Grid Security Architecture for Wireless Advanced Metering Infrastructure (AMI)." International Journal of Information Security and Privacy 10, no. 2 (April 2016): 1–10. http://dx.doi.org/10.4018/ijisp.2016040101.

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The authors present a protocol and security architecture for the smart grid in an advanced metering infrastructure (AMI). Various levels of the hierarchical grid are isolated in protocol planes for preventing propagation of attacks. The utility meters are interconnected via the wireless technologies in order for metering functions, as well as location identification and reporting for attackers. An amended version of Bell Labs security framework (aka, ITU-X.805) protects every component with added first response security apparatus, forensic component and a location determination algorithm for fortifying the PHY of WLAN interconnecting the meters.
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Amaxilatis, Dimitrios, Ioannis Chatzigiannakis, Christos Tselios, Nikolaos Tsironis, Nikos Niakas, and Simos Papadogeorgos. "A Smart Water Metering Deployment Based on the Fog Computing Paradigm." Applied Sciences 10, no. 6 (March 13, 2020): 1965. http://dx.doi.org/10.3390/app10061965.

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In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.
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Khalifa, Tarek, Atef Abdrabou, Khaled Bashir Shaban, Maazen Alsabaan, and Kshirasagar Naik. "Transport layer performance analysis and optimization for smart metering infrastructure." Journal of Network and Computer Applications 46 (November 2014): 83–93. http://dx.doi.org/10.1016/j.jnca.2014.08.001.

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22

Al-Ghaili, Abbas M., Zul Azri Ibrahim, Syazwani Arissa Shah Hairi, Fiza Abdul Rahim, Hasventhran Baskaran, Noor Afiza Mohd Ariffin, and Hairoladenan Kasim. "A Review of anomaly detection techniques in advanced metering infrastructure." Bulletin of Electrical Engineering and Informatics 10, no. 1 (February 1, 2021): 266–73. http://dx.doi.org/10.11591/eei.v10i1.2026.

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Advanced Metering Infrastructure (AMI) is a component of electrical networks that combines the energy and telecommunication infrastructure to collect, measure and analyze consumer energy consumptions. One of the main elements of AMI is a smart meter that used to manage electricity generation and distribution to end-user. The rapid implementation of AMI raises the need to deliver better maintenance performance and monitoring more efficiently while keeping consumers informed on their consumption habits. The convergence from analog to digital has made AMI tend to inherit the current vulnerabilities of digital devices that prone to cyber-attack, where attackers can manipulate the consumer energy consumption for their benefit. A huge amount of data generated in AMI allows attackers to manipulate the consumer energy consumption to their benefit once they manage to hack into the AMI environment. Anomalies detection is a technique can be used to identify any rare event such as data manipulation that happens in AMI based on the data collected from the smart meter. The purpose of this study is to review existing studies on anomalies techniques used to detect data manipulation in AMI and smart grid systems. Furthermore, several measurement methods and approaches used by existing studies will be addressed.
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23

.S, Madhura, and Thilak Raj L. "A Secure Protocol for Smart Meters using IoT Enabled Distribution Networks and Blockchain Security Mechanism." Journal of Ubiquitous Computing and Communication Technologies 2, no. 1 (March 30, 2020): 48–58. http://dx.doi.org/10.36548/jucct.2020.1.006.

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Smart Cities, Homes and Communities are the spaces where IoT sensors are used to the fullest in the Utilities sector. Advanced Metering Infrastructure (AMI) providing the peer-to-peer communication between metering equipment that reads, calculate and provides the information related to distribution and measure the consumption. This paper outlines the network monitoring and management architecture that can be used in Smart Cities, homes and communities using the integrated IoT and Blockchain technology. Blockchain technology provides trustworthy resource monitoring of utilities for all members of the smart community that in-turn benefit the members of smart communities with enhanced monitoring and optimize the consumption of resources in protected and transparent way.
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Alvisi, Stefano, Francesco Casellato, Marco Franchini, Marco Govoni, Chiara Luciani, Filippo Poltronieri, Giulio Riberto, Cesare Stefanelli, and Mauro Tortonesi. "Wireless Middleware Solutions for Smart Water Metering." Sensors 19, no. 8 (April 18, 2019): 1853. http://dx.doi.org/10.3390/s19081853.

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While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.
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Kunicina, N., A. Zabasta, K. Kondratjevs, and G. Asmanis. "Solutions For Smart Metering Under Harsh Environmental Condicions." Latvian Journal of Physics and Technical Sciences 52, no. 1 (February 1, 2015): 15–25. http://dx.doi.org/10.1515/lpts-2015-0002.

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Abstract The described case study concerns application of wireless sensor networks to the smart control of power supply substations. The solution proposed for metering is based on the modular principle and has been tested in the intersystem communication paradigm using selectable interface modules (IEEE 802.3, ISM radio interface, GSM/GPRS). The solution modularity gives 7 % savings of maintenance costs. The developed solution can be applied to the control of different critical infrastructure networks using adapted modules. The proposed smart metering is suitable for outdoor installation, indoor industrial installations, operation under electromagnetic pollution, temperature and humidity impact. The results of tests have shown a good electromagnetic compatibility of the prototype meter with other electronic devices. The metering procedure is exemplified by operation of a testing company's workers under harsh environmental conditions.
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Fornarelli, R., M. Anda, S. Dallas, M. Schmack, F. Dawood, J. Byrne, G. M. Morrison, and K. Fox-Reynolds. "Enabling residential hybrid water systems through a water credit–debit system." Water Supply 19, no. 7 (June 27, 2019): 2131–39. http://dx.doi.org/10.2166/ws.2019.093.

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Abstract Smart metering and data analytics enable the implementation of a range of on-site infrastructures for energy, water and waste management to demonstrate the interconnected infrastructure of future smart cities. A research project in Western Australia is integrating smart metering technology, household participation and data analytics. An improved understanding of hybrid water systems at residential scale, as socially accepted solutions to promote water efficiency and economic savings, within the traditional centralized urban water network is achieved. An integrated water model and a system of water credits and debits are developed and tested on a case study for which 10-minute logged water consumption data of its hybrid water system are available for 1 year. The model is shown to provide a full characterization of the relationship between the household and the water resources, thus assisting with improved urban water management which promotes the rollout of decentralized hybrid water systems whilst accounting for the impacts on the aquifer as an ecosystem service provider.
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Kong, Xiang Yu, Bo Zeng, Kai Wang, Yi Zeng, and Qun Yang. "Advanced Metering Infrastructure and its Back Software Architecture for Future Power System." Advanced Materials Research 986-987 (July 2014): 1173–77. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1173.

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Governments have become increasingly concerned about the development of the smart grid, and a series of smart grid demonstration projects have been started. Multi-levels common and integrated infrastructure architecture for smart grid demonstration project was proposed in the paper. The implementation and operation of its back office systems were presented, which include the design, development and deployment of network management system, meter data management system, load control systems, community level and home energy management system, and web portal. The integration between different parts and their managements were also were proposed.
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Bhattacharjee, Shameek, Venkata Praveen Kumar Madhavarapu, Simone Silvestri, and Sajal K. Das. "Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure." ACM Transactions on Privacy and Security 24, no. 2 (February 2021): 1–36. http://dx.doi.org/10.1145/3426739.

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Spurious power consumption data reported from compromised meters controlled by organized adversaries in the Advanced Metering Infrastructure (AMI) may have drastic consequences on a smart grid’s operations. While existing research on data falsification in smart grids mostly defends against isolated electricity theft, we introduce a taxonomy of various data falsification attack types, when smart meters are compromised by organized or strategic rivals. To counter these attacks, we first propose a coarse-grained and a fine-grained anomaly-based security event detection technique that uses indicators such as deviation and directional change in the time series of the proposed anomaly detection metrics to indicate: (i) occurrence, (ii) type of attack, and (iii) attack strategy used, collectively known as attack context . Leveraging the attack context information, we propose three attack response metrics to the inferred attack context: (a) an unbiased mean indicating a robust location parameter; (b) a median absolute deviation indicating a robust scale parameter; and (c) an attack probability time ratio metric indicating the active time horizon of attacks. Subsequently, we propose a trust scoring model based on Kullback-Leibler (KL) divergence, that embeds the appropriate unbiased mean, the median absolute deviation, and the attack probability ratio metric at runtime to produce trust scores for each smart meter. These trust scores help classify compromised smart meters from the non-compromised ones. The embedding of the attack context, into the trust scoring model, facilitates accurate and rapid classification of compromised meters, even under large fractions of compromised meters, generalize across various attack strategies and margins of false data. Using real datasets collected from two different AMIs, experimental results show that our proposed framework has a high true positive detection rate, while the average false alarm and missed detection rates are much lesser than 10% for most attack combinations for two different real AMI micro-grid datasets. Finally, we also establish fundamental theoretical limits of the proposed method, which will help assess the applicability of our method to other domains.
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Sui, Hui Bin, Ying Sun, Wei Jen Lee, and Meng Liu. "Advanced Metering Infrastructure for Distributed Generation Energy Cooperation Management." Applied Mechanics and Materials 229-231 (November 2012): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1081.

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An AMI platform for DG energy management is proposed to provide service both utilities and customers in this paper. By enabling the interactive and efficient communication platform, the proposed AMI facilitates utilities to perform the energy management of DGs, economic dispatch and demand response effectively. Base on the CIM model, OSGi platform leads the AMI extendibility and Interoperability. The communication network includes several advanced communication technology which are used in distributed systems, if the AMI for DG can share the communication network and smart terminal even some advance application software in the utility information platform, it will work more powerfully and effectively.
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Go, Woong, and Jin Kawk. "Two-Dimensional Key Table-Based Group Key Distribution in Advanced Metering Infrastructure." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/149649.

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A smart grid provides two-way communication by using the information and communication technology. In order to establish two-way communication, the advanced metering infrastructure (AMI) is used in the smart grid as the core infrastructure. This infrastructure consists of smart meters, data collection units, maintenance data management systems, and so on. However, potential security problems of the AMI increase owing to the application of the public network. This is because the transmitted information is electricity consumption data for charging. Thus, in order to establish a secure connection to transmit electricity consumption data, encryption is necessary, for which key distribution is required. Further, a group key is more efficient than a pairwise key in the hierarchical structure of the AMI. Therefore, we propose a group key distribution scheme using a two-dimensional key table through the analysis result of the sensor network group key distribution scheme. The proposed scheme has three phases: group key predistribution, selection of group key generation element, and generation of group key.
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Giannakopoulos, Athanasios, and Panayotis G. Cottis. "Exploiting the Cellular Infrastructure for Data Transmission in Smart Metering Systems." Journal of Computer and Communications 04, no. 07 (2016): 31–41. http://dx.doi.org/10.4236/jcc.2016.47005.

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Song, Ohyoung. "Efficient Transmission Algorithm in Smart Power Strips for Advanced Metering Infrastructure." Journal of Electrical Engineering & Technology 14, no. 6 (August 19, 2019): 2467–75. http://dx.doi.org/10.1007/s42835-019-00247-1.

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Tripathi, Sharda, and Swades De. "An Efficient Data Characterization and Reduction Scheme for Smart Metering Infrastructure." IEEE Transactions on Industrial Informatics 14, no. 10 (October 2018): 4300–4308. http://dx.doi.org/10.1109/tii.2018.2799855.

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Song, Yujae, Peng-Yong Kong, Yongjae Kim, Seungjae Baek, and Yonghoon Choi. "Cellular-Assisted D2D Communications for Advanced Metering Infrastructure in Smart Gird." IEEE Systems Journal 13, no. 2 (June 2019): 1347–58. http://dx.doi.org/10.1109/jsyst.2019.2891719.

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Wan, Zhiguo, Guilin Wang, Yanjiang Yang, and Shenxing Shi. "SKM: Scalable Key Management for Advanced Metering Infrastructure in Smart Grids." IEEE Transactions on Industrial Electronics 61, no. 12 (December 2014): 7055–66. http://dx.doi.org/10.1109/tie.2014.2331014.

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Rahman, Mohammad Ashiqur, Ehab Al-Shaer, and Padmalochan Bera. "A Noninvasive Threat Analyzer for Advanced Metering Infrastructure in Smart Grid." IEEE Transactions on Smart Grid 4, no. 1 (March 2013): 273–87. http://dx.doi.org/10.1109/tsg.2012.2228283.

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Ghosal, Amrita, and Mauro Conti. "Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey." IEEE Communications Surveys & Tutorials 21, no. 3 (2019): 2831–48. http://dx.doi.org/10.1109/comst.2019.2907650.

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38

Ye Yan, R. Q. Hu, S. K. Das, H. Sharif, and Yi Qian. "An efficient security protocol for advanced metering infrastructure in smart grid." IEEE Network 27, no. 4 (2013): 64–71. http://dx.doi.org/10.1109/mnet.2013.6574667.

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Jiang, Rong, Rongxing Lu, Ye Wang, Jun Luo, Changxiang Shen, and Xuemin Shen. "Energy-theft detection issues for advanced metering infrastructure in smart grid." Tsinghua Science and Technology 19, no. 2 (April 2014): 105–20. http://dx.doi.org/10.1109/tst.2014.6787363.

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Gao, Jing, Jia-jia Zhang, and Xu-liang Guang. "An improved routing algorithm for advanced metering infrastructure in smart grid." Cluster Computing 22, S2 (March 7, 2018): 3453–62. http://dx.doi.org/10.1007/s10586-018-2192-1.

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Saputro, Nico, and Kemal Akkaya. "On preserving user privacy in Smart Grid advanced metering infrastructure applications." Security and Communication Networks 7, no. 1 (January 18, 2013): 206–20. http://dx.doi.org/10.1002/sec.706.

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Garrison, Eric, and Joshua New. "Quality Control Methods for Advanced Metering Infrastructure Data." Smart Cities 4, no. 1 (January 28, 2021): 195–203. http://dx.doi.org/10.3390/smartcities4010012.

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While urban-scale building energy modeling is becoming increasingly common, it currently lacks standards, guidelines, or empirical validation against measured data. Empirical validation necessary to enable best practices is becoming increasingly tractable. The growing prevalence of advanced metering infrastructure has led to significant data regarding the energy consumption within individual buildings, but is something utilities and countries are still struggling to analyze and use wisely. In partnership with the Electric Power Board of Chattanooga, Tennessee, a crude OpenStudio/EnergyPlus model of over 178,000 buildings has been created and used to compare simulated energy against actual, 15-min, whole-building electrical consumption of each building. In this study, classifying building type is treated as a use case for quantifying performance associated with smart meter data. This article attempts to provide guidance for working with advanced metering infrastructure for buildings related to: quality control, pathological data classifications, statistical metrics on performance, a methodology for classifying building types, and assess accuracy. Advanced metering infrastructure was used to collect whole-building electricity consumption for 178,333 buildings, define equations for common data issues (missing values, zeros, and spiking), propose a new method for assigning building type, and empirically validate gaps between real buildings and existing prototypes using industry-standard accuracy metrics.
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43

Dahunsi, F. M., O. R. Olakunle, and A. O. Melodi. "Evolution of Electricity Metering Technologies in Nigeria." Nigerian Journal of Technological Development 18, no. 2 (August 13, 2021): 152–65. http://dx.doi.org/10.4314/njtd.v18i2.10.

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Advancement in technology has continuously driven the evolution of metering devices and infrastructure in the world and has resulted in more accurate and user-friendly devices equipped with customer interaction interfaces. The evolution of metering technology in Nigeria arose with the unbundling of the National Electric Power Authority (NEPA) but have not progressed smoothly and successfully despite the implementation of various reforms and policies in the Nigerian electricity industry. The persisting problems in the electricity distribution system such as energy theft, vandalism, energy wastage, high line losses can be overcome by the deployment of appropriate metering infrastructure. In the second quarter of 2020, the Nigerian Electricity Regulatory Commission revealed that the total registered customers and total metered customers are 10,516,090 and 4,234,759 respectively leaving a metering gap of 59.73%; after 124 years of commercial electricity availability in Nigeria. This paper discusses Nigeria's metering history and the challenges encountered in the transition of policies, technologies and government reforms. The paper also proposes the way forward to a successful transitioning into a smart distribution grid.
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44

Andreadou, Nikoleta, Evangelos Kotsakis, and Marcelo Masera. "Smart Meter Traffic in a Real LV Distribution Network." Energies 11, no. 5 (May 5, 2018): 1156. http://dx.doi.org/10.3390/en11051156.

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The modernization of the distribution grid requires a huge amount of data to be transmitted and handled by the network. The deployment of Advanced Metering Infrastructure systems results in an increased traffic generated by smart meters. In this work, we examine the smart meter traffic that needs to be accommodated by a real distribution system. Parameters such as the message size and the message transmission frequency are examined and their effect on traffic is showed. Limitations of the system are presented, such as the buffer capacity needs and the maximum message size that can be communicated. For this scope, we have used the parameters of a real distribution network, based on a survey at which the European Distribution System Operators (DSOs) have participated. For the smart meter traffic, we have used two popular specifications, namely the G3-PLC–“G3 Power Line communication” and PRIME–acronym for “PoweRline Intelligent Metering Evolution”, to simulate the characteristics of a system that is widely used in practice. The results can be an insight for further development of the Information and Communication Technology (ICT) systems that control and monitor the Low Voltage (LV) distribution grid. The paper presents an analysis towards identifying the needs of distribution networks with respect to telecommunication data as well as the main parameters that can affect the Inverse Fast Fourier Transform (IFFT) system performance. Identifying such parameters is consequently beneficial to designing more efficient ICT systems for Advanced Metering Infrastructure.
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45

Lovell, Heather. "Are policy failures mobile? An investigation of the Advanced Metering Infrastructure Program in the State of Victoria, Australia." Environment and Planning A: Economy and Space 49, no. 2 (September 28, 2016): 314–31. http://dx.doi.org/10.1177/0308518x16668170.

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This article is about a case of policy failure and negative lesson drawing, namely the implementation of a mandatory smart metering programme – the Advanced Metering Infrastructure Program – in the State of Victoria, Australia, in the period 2009–2013. The article explores the framing of policy failure, and the ways in which failed polices might be mobile. The Advanced Metering Infrastructure Program provides an important empirical counterbalance to existing scholarship on policy learning, transfer and mobility, which is for the most part about positive best practice case studies, emulation and the travelling of ‘fast’ and (by implication) successful policy. There is evidence that the Victorian Advanced Metering Infrastructure Program circulated domestically within Australia and was influential in policy decision making, but that its international mobility was limited. The case is used to explore what gets left behind – or is immobile – in the telling of policy stories about failure. Science and Technology Studies scholarship on the inherent fragility of sociotechnical networks is drawn upon to consider how the concept of assemblage – a popular conceptual lens within policy mobility scholarship – might be applied to better understand instances of policy failure.
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46

Syed, Zahurul Islam, Norman Mariun, Othman Lutfi, Hizam Hashim, and Zainal Abidin Izham. "Dynamic Communication for Smart Metering: Leading Edge for Sustainable Energy and PHEV." Advanced Materials Research 805-806 (September 2013): 1107–15. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1107.

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The urgency of moving towards optimization of existing energy distribution via Smart Grid (SG) is crucial due to promising opportunities such as energy efficiency, reduced carbon emissions, and improved power reliability. This paper focuses on wireless communication network for smart meter linking Information and Communication Technologies (ICT) to Smart Grid (SG). This paper also gives evidence that before smart meter is deployed, its communication infrastructure has to be precise to ensure proper operation, functionality and safety. This paper also provides an overview of how smart meter can contribute the penetration of Plug-In Hybrid Electrical Vehicle (PHEV) to the grid and its uncertain load.
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47

Morais, Vítor A., João L. Afonso, Adriano S. Carvalho, and António P. Martins. "New Reactive Power Compensation Strategies for Railway Infrastructure Capacity Increasing." Energies 13, no. 17 (August 25, 2020): 4379. http://dx.doi.org/10.3390/en13174379.

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In AC railway electrification systems, the impact of reactive power flow in the feeding voltage magnitude is one aspect contributing to the quality of supply degradation. Specifically, this issue results in limitations in the infrastructure capacity, either in the maximum number of trains and in maximum train power. In this paper, two reactive power compensation strategies are presented and compared, in terms of the theoretical railway infrastructure capacity. The first strategy considers a static VAR compensator, located in the neutral zone and compensating the substation reactive power, achieving a maximum capacity increase up to 50% without depending on each train active power. The second strategy adapts each train reactive power, achieving also a capacity increase around 50%, only with an increase of the train apparent power below 10%. With a smart metering infrastructure, the implementation of such compensation strategy is viable, satisfying the requirements of real-time knowledge of the railway electrification system state. Specifically, the usage of droop curves to adapt in real time the compensation scheme can bring the operation closer to optimality. Thus, the quality of supply and the infrastructure capacity can be increased with a mobile reactive power compensation scheme, based on a smart metering framework.
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48

Li, Zhong Wei, Li Cheng, Hong Li Zhang, and Wei Ming Tong. "Communication and Cyber Security Analysis of Advanced Metering Infrastructure of Smart Grid." Applied Mechanics and Materials 325-326 (June 2013): 637–42. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.637.

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AMI (Advanced Metering Infrastructure) is the first step of the implementation of the smart grid. The communication network is the important part of AMI. The reasonable communication network architecture and effective cyber security measures are the keys of the realization of AMIs functions. The components, functions and communication network architecture are studied. Communication technologies that can be used in AMI are analyzed. Based on ZigBee, fieldbus/industrial EtherNet and GPRS, a typical AMI are constructed. The cyber security threats, communication data types and cyber security requirement of AMI are analyzed. The cyber security strategy and implementing scheme are offered. The communication standards and cyber security standards that can be referred while constructing AMI are analyzed. The necessity that publishes AMIs communication standard and cyber security is put forward.
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49

Diovu, Remigius Chidiebere, and John T. Agee. "Smart Grid Advanced Metering Infrastructure: Overview of Cloud-Based Cyber Security Solutions." International Journal on Communications Antenna and Propagation (IRECAP) 8, no. 4 (August 31, 2018): 302. http://dx.doi.org/10.15866/irecap.v8i4.13394.

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50

Zhou, Jiazhen, Rose Qingyang Hu, and Yi Qian. "Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid." IEEE Transactions on Parallel and Distributed Systems 23, no. 9 (September 2012): 1632–42. http://dx.doi.org/10.1109/tpds.2012.53.

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